EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/23/2019 | 11:00 AM - 11:15 AM | DEVELOPMENT OF EXTENSIBLE SOFTWARE TO INFER ECOSYSTEM METABOLIC RATES FROM MULTIVARIATE METABOLITE SIGNALS IN STREAMS | 251 AB
DEVELOPMENT OF EXTENSIBLE SOFTWARE TO INFER ECOSYSTEM METABOLIC RATES FROM MULTIVARIATE METABOLITE SIGNALS IN STREAMS
Advances in sensor technology are rapidly increasing the number of different metabolite signals that can be measured in situ in streams over long periods of time. We define “metabolite signal” as relatively high-frequency measurements of chemical concentrations that are influenced by ecosystem metabolism (e.g., dissolved oxygen, dissolved inorganic carbon, nitrate, etc.). To keep pace with continued advances in sensor development, we suggest that the inferential modeling software needed to estimate ecosystem metabolic rates from metabolite signals should be developed in an extensible, object-oriented design. Here, we use the Unified Modeling Language (UML) to share our current design of an R package (in active development) intended to meet these needs. Abstract implementations in the code base are designed to minimize the amount of new code (i.e. extensions of R6 classes) necessary to make metabolic inferences from new types of metabolite signals and using new types of models. We provide examples of a Bayesian optimization scheme and multivariate metabolic models to illustrate use of the design, and we demonstrate how confidence in inferences from new signals and new models are assessed using Monte Carlo analyses.
- Biogeochemistry
- Modeling
- Oxygen
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Presenters/Authors
Robert Payn
(), Montana State University, Montana Institute on Ecosystems, rpayn@montana.edu;
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Elizabeth Mohr
(), Montana State University, elizabethjmohr@gmail.com;
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Elfrida Isaksen-Swensen
(), Montana State University, frida.e.swensen@gmail.com;
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Todd Schlotfeldt
(), Montana State University, toddschlotfeldt@gmail.com;
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Geoffrey Poole
(), Montana State University, Montana Institute on Ecosystems, gpoole@montana.edu ;
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Ann Marie Reinhold
(), Montana State University, Montana Institute on Ecosystems, reinhold@montana.edu;
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Michael DeGrandpre
(), University of Montana, michael.degrandpre@umontana.edu;
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Joanna Blaszczak
(), Global Water Center and Department of Natural Resources and Environmental Science, University of Nevada, Reno, jblaszczak@unr.edu;
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Robert O. Hall
(), Flathead Lake Biological Station, University of Montana, bob.hall@flbs.umt.edu;
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Clemente Izurieta
(), Montana State University, Montana Institute on Ecosystems, clemente.izurieta@cs.montana.edu;
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H. Maurice Valett
(), University of Montana, Division of Biological Sciences, maury.valett@umontana.edu;
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